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Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis

BACKGROUND: Epstein-Barr virus-associated gastric cancer (EBVaGC) is the most common EBV-related malignancy. A comprehensive research for the protein expression patterns in EBVaGC established by high-throughput assay remains lacking. In the present study, the protein profile in EBVaGC tissue was exp...

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Autores principales: Wang, Zeyang, Lv, Zhi, Xu, Qian, Sun, Liping, Yuan, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274036/
https://www.ncbi.nlm.nih.gov/pubmed/34247602
http://dx.doi.org/10.1186/s12935-021-02077-6
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author Wang, Zeyang
Lv, Zhi
Xu, Qian
Sun, Liping
Yuan, Yuan
author_facet Wang, Zeyang
Lv, Zhi
Xu, Qian
Sun, Liping
Yuan, Yuan
author_sort Wang, Zeyang
collection PubMed
description BACKGROUND: Epstein-Barr virus-associated gastric cancer (EBVaGC) is the most common EBV-related malignancy. A comprehensive research for the protein expression patterns in EBVaGC established by high-throughput assay remains lacking. In the present study, the protein profile in EBVaGC tissue was explored and related functional analysis was performed. METHODS: Epstein-Barr virus-encoded RNA (EBER) in situ hybridization (ISH) was applied to EBV detection in GC cases. Data-independent acquisition (DIA) mass spectrometry (MS) was performed for proteomics assay of EBVaGC. Functional analysis of identified proteins was conducted with bioinformatics methods. Immunohistochemistry (IHC) staining was employed to detect protein expression in tissue. RESULTS: The proteomics study for EBVaGC was conducted with 7 pairs of GC cases. A total of 137 differentially expressed proteins in EBV-positive GC group were identified compared with EBV-negative GC group. A PPI network was constructed for all of them, and several proteins with relatively high interaction degrees could be the hub genes in EBVaGC. Gene enrichment analysis showed they might be involved in the biological pathways related to energy and biochemical metabolism. Combined with GEO datasets, a highly associated protein (GBP5) with EBVaGC was screened out and validated with IHC staining. Further analyses demonstrated that GBP5 protein might be associated with clinicopathological parameters and EBV infection in GC. CONCLUSIONS: The newly identified proteins with significant differences and potential central roles could be applied as diagnostic markers of EBVaGC. Our study would provide research clues for EBVaGC pathogenesis as well as novel targets for the molecular-targeted therapy of EBVaGC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02077-6.
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spelling pubmed-82740362021-07-13 Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis Wang, Zeyang Lv, Zhi Xu, Qian Sun, Liping Yuan, Yuan Cancer Cell Int Primary Research BACKGROUND: Epstein-Barr virus-associated gastric cancer (EBVaGC) is the most common EBV-related malignancy. A comprehensive research for the protein expression patterns in EBVaGC established by high-throughput assay remains lacking. In the present study, the protein profile in EBVaGC tissue was explored and related functional analysis was performed. METHODS: Epstein-Barr virus-encoded RNA (EBER) in situ hybridization (ISH) was applied to EBV detection in GC cases. Data-independent acquisition (DIA) mass spectrometry (MS) was performed for proteomics assay of EBVaGC. Functional analysis of identified proteins was conducted with bioinformatics methods. Immunohistochemistry (IHC) staining was employed to detect protein expression in tissue. RESULTS: The proteomics study for EBVaGC was conducted with 7 pairs of GC cases. A total of 137 differentially expressed proteins in EBV-positive GC group were identified compared with EBV-negative GC group. A PPI network was constructed for all of them, and several proteins with relatively high interaction degrees could be the hub genes in EBVaGC. Gene enrichment analysis showed they might be involved in the biological pathways related to energy and biochemical metabolism. Combined with GEO datasets, a highly associated protein (GBP5) with EBVaGC was screened out and validated with IHC staining. Further analyses demonstrated that GBP5 protein might be associated with clinicopathological parameters and EBV infection in GC. CONCLUSIONS: The newly identified proteins with significant differences and potential central roles could be applied as diagnostic markers of EBVaGC. Our study would provide research clues for EBVaGC pathogenesis as well as novel targets for the molecular-targeted therapy of EBVaGC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02077-6. BioMed Central 2021-07-12 /pmc/articles/PMC8274036/ /pubmed/34247602 http://dx.doi.org/10.1186/s12935-021-02077-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Wang, Zeyang
Lv, Zhi
Xu, Qian
Sun, Liping
Yuan, Yuan
Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title_full Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title_fullStr Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title_full_unstemmed Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title_short Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis
title_sort identification of differential proteomics in epstein-barr virus-associated gastric cancer and related functional analysis
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274036/
https://www.ncbi.nlm.nih.gov/pubmed/34247602
http://dx.doi.org/10.1186/s12935-021-02077-6
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